Analisis Persepsi Pengguna terhadap Data Quality Google Maps: Studi Kasus Ketidakakuratan Titik Lokasi dalam Layanan Transportasi Online
DOI:
https://doi.org/10.65244/jggeconomic.v2i2.851Keywords:
Data Quality, Google Maps, Location Inaccuracy, Online Transportation, User PerceptionAbstract
Aplikasi pemetaan digital seperti Google Maps telah menjadi bagian penting dari layanan transportasi daring. Namun, pengguna sering kali menemukan perbedaan antara titik lokasi yang ditampilkan dan kondisi lapangan yang sebenarnya. Penelitian ini bertujuan untuk menganalisis persepsi pengguna terhadap kualitas data di Google Maps, khususnya terkait ketidakakuratan titik lokasi dalam layanan transportasi daring. Metode survei kuantitatif digunakan dengan menyebarkan kuesioner daring kepada 33 responden yang secara aktif menggunakan Google Maps dan aplikasi transportasi online. Hasil penelitian menunjukkan bahwa 81,8% responden menilai Google Maps secara umum akurat, namun 69,7% responden pernah mengalami ketidakakuratan titik lokasi, dan 51,5% di antaranya perlu melakukan penyesuaian titik penjemputan secara manual. Data lokasi yang tidak akurat juga memengaruhi efisiensi perjalanan, menyebabkan keterlambatan, serta menurunkan tingkat kepercayaan pengguna. Meskipun demikian, 87,9% responden tetap menunjukkan loyalitas terhadap Google Maps karena kegunaan dan kemudahan penggunaannya. Temuan ini menunjukkan bahwa peningkatan akurasi lokasi penting untuk meningkatkan kepuasan dan kepercayaan pengguna terhadap layanan pemetaan digital.
Downloads
References
Azeroual, O., Saake, G., Abuosba, M., & Schöpfel, J. (2020). Data quality as a critical success factor for user acceptance of research information systems. Data, 5(2), 35.
Fischer, J., Egli, L., Groth, J., Barrasso, C., Ehrmann, S., Figgemeier, H., Henzen, C., Meyer, C., Müller-Pfefferkorn, R., Rümmler, A., Wagner, M., Bernard, L., & Seppelt, R. (2023). Approaches and tools for user-driven provenance and data quality information in spatial data infrastructures. International Journal of Digital Earth, 16(1), 1510–1529.
Laumer, S., Maier, C., & Weitzel, T. (2017). Information quality, user satisfaction, and the manifestation of workarounds: A qualitative and quantitative study of enterprise content management system users. European Journal of Information Systems, 26(4), 333–360.
Peer, S., Tomori, F., Wagner, B., & Winkler, T. (2025). The potential impact of Google Maps on mode choices: Evidence from a stated preference experiment. Transportation Research Interdisciplinary Perspectives, 33, 101560.
Rhee, K. S. M., Zheng, J., Wang, Y., & Tan, Y. (2022). Value of information sharing via ride-hailing apps: An empirical analysis. Information Systems Research. Advance online publication.
Wang, J., Liu, Y., Li, P., Lin, Z., Sindakis, S., & Aggarwal, S. (2023). Overview of data quality: Examining the dimensions, antecedents, and impacts of data quality. Journal of the Knowledge Economy.
Wang, R. Y., & Strong, D. M. (1996). Beyond accuracy: What data quality means to data consumers. Journal of Management Information Systems, 12(4), 5–33.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Tiara Syahira Mardianto, Muhammad Irwan Padli Nasution (Author)

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with Journal of Golden Generation Economic agree to the following terms:
- Authors retain copyright and grant the Journal of Golden Generation Economic right of first publication with the work simultaneously This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors can enter into separate, additional contractual arrangements for the non-exclusive distribution of the published version of the work (e.g., post it to an institutional repository or edit it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) before and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.









